I have a vector (column from an imported csv file) that I'd like to make some summary statistics from and put it in a table and put in a small report. Can R do this. So basically I have 12 columns (1 for each dataset and in the created table I want them as rows) and for each, I'd like to calculate mean, min, max, coefficient of varation, sd, kurtosis, etc... What is a good way to do this?
Topic r
Category Data Science
This can be done like this for example:
library(plyr)
library(moments)
mydata <- data.frame(data1=c(12,65,23,8), data2=c(98,54,76,27))
mysummary <- function(df) {
ldply(colnames(df), function(col) {
data.frame(data=col,
mean=mean(df[,col]),
min= min(df[,col]),
max=max(df[,col]),
stddev=sd(df[,col]),
coeffvar=sd(df[,col])/mean(df[,col]),
kurtosis=kurtosis(df[,col])
)
})
}
> mysummary(mydata)
data mean min max stddev coeffvar kurtosis
1 data1 27.00 8 65 26.11513 0.9672270 2.165576
2 data2 63.75 27 98 30.37954 0.4765419 1.686230
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